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Prediction of Crack Density in additive manufactured AA7075 Alloy Reinforced with ZrH2 inoculant via Response Surface Method

반응표면모델을 통한 적층제조된 ZrH2 접종제 첨가AA7075 합금의 균열 밀도 예측

  • Jeong Ah Lee (Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Jungho Choe (Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH)) ;
  • Hyoung Seop Kim (Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH))
  • 이정아 (포항공과대학교 신소재공학과) ;
  • 최중호 (포항공과대학교 신소재공학과) ;
  • 김형섭 (포항공과대학교 신소재공학과)
  • Received : 2023.05.05
  • Accepted : 2023.05.31
  • Published : 2023.06.28

Abstract

Aluminum alloy-based additive manufacturing (AM) has emerged as a popular manufacturing process for the fabrication of complex parts in the automotive and aerospace industries. The addition of an inoculant to aluminum alloy powder has been demonstrated to effectively reduce cracking by promoting the formation of equiaxed grains. However, the optimization of the AM process parameters remains challenging owing to their variability. In this study, the response surface methodology (RSM) was used to predict the crack density of AM-processed Al alloy samples. RSM was performed by setting the process parameters and equiaxed grain ratio, which influence crack propagation, as independent variables and designating crack density as a response variable. The RSM-based quadratic polynomial models for crack-density prediction were found to be highly accurate. The relationship among the process parameters, crack density, and equiaxed grain fraction was also investigated using RSM. The findings of this study highlight the efficacy of RSM as a reliable approach for optimizing the properties of AM-processed parts with limited experimental data. These results can contribute to the development of robust AM processing strategies for the fabrication of high-quality Al alloy components for various applications.

Keywords

Acknowledgement

본 연구는 한국 정부(MSIP)가 자금을 지원하는 한국연구재단(NRF) (NRF-2022R1A5A1030054)의 지원사업으로 수행되었습니다.

References

  1. M. Jalali, K. Mohammadi, M. R. Movahhedy, F. Karimi, S. K. Sadrnezhaad, S. V. Chernyshikhin and I. V. Shishkovsky: Met. Mater. Int., (2023).
  2. M. J. Sagong, E. S. Kim, J. M. Park, G. M. Karthik, B. J. Lee, J. W. Cho, C. S. Lee, T. Nakano and H. S. Kim: Mater. Sci. Eng., 847 (2022) 143318.
  3. A. Paolini, S. Kollmannsberger and E. Rank: Addit. Manuf., 30 (2019) 100894.
  4. L. Ren, H. Gu, W. Wang, S. Wang, C. Li, Z. Wang, Y. Zhai and P. Ma: Met. Mater. Int., 27 (2021) 68.
  5. P. He, Z. Wei, Y. Wang, M. Jiang, C. Ma, X. Chen and X. Lai: Addit. Manuf., 61 (2023) 103356.
  6. M. Ghasri-Khouzani, H. Karimialavijeh, M. Probstle, R. Batmaz, W. Muhammad, A. Chakraborty, T. D. Sabiston, J. P. Harvey and E. Martin: Mater. Today Commun., 35 (2023) 105555.
  7. A. Martin, M. Vilanova, E. Gil, M. S. Sebastian, C. Y. Wang, S. Milenkovic, M. T. Perez-Prado and C. M. Cepeda-Jimenez: Mater. Charact., 183 (2022) 111650.
  8. Q. Tan, Y. Yin, A. Prasad, G. Li, Q. Zhu, D. H. StJohn and M. Zhang: Addit. Manuf., 49 (2022) 102516.
  9. M. N. Krishnan, S. Suresh, S. C. Vettivel, C. E. Prema, J. Arun and P. Thirunamakodi: Met. Mater. Int., 28 (2022) 1195.
  10. J. A. Lee, M. J. Sagong, J. Jung, E. S. Kim and H. S. Kim: J. Mater. Res. Technol., 27 (2023) 413.
  11. J. A. Lee, J. Park, Y. T. Choi, R. E. Kim, J. Jung, S. Lee, M. H. Seo and H. S. Kim: J. Mater. Sci., 58 (2023) 4780.
  12. D. S. Shim: J. Mater. Res. Technol., 15 (2021) 119.
  13. R. Srinivasan, T. Pridhar, L. S. Ramprasath, N. Sree Charan and W. Ruban: Mater. Today: Proc., 27 (2020) 1827.
  14. J. Choe, K. T. Kim, J. H. Yu, J. M. Park, D. Y. Yang, S. H. Jung, S. Jo, H. Joo, M. Kang, S. Y. Ahn, S. G. Jeong, E. S. Kim, H. Lee and H. S. Kim: Addit. Manuf., 62 (2023) 103370.
  15. E. Maleki, O. Unal and K. R. Kashyzadeh: Met. Mater. Int., 27 (2021) 4418.
  16. S. Sardar and D. Das: Met. Mater. Int., 27 (2021) 1859.
  17. W. Stopyra, K. Gruber, I. Smolina, T. Kurzynowski and B. Kuznicka: Addit. Manuf., 35 (2020) 101270.
  18. G. Li, X. Li, C. Guo, Y. Zhou, Q. Tan, W. Qu, X. Li, X. Hu, M.-X. Zhang and Q. Zhu: Opt. Laser Technol., 147 (2022) 107621.